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		<title>Shifting Gears: Why Your AI Systems Need a Security Makeover</title>
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		<dc:creator><![CDATA[iOCO Digital]]></dc:creator>
		<pubDate>Fri, 11 Jul 2025 07:43:01 +0000</pubDate>
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					<description><![CDATA[Remember when cybersecurity meant checking for SQL injections and making sure your firewall was configured correctly? Those days feel quaint now. As AI systems become the backbone of everything from customer service to financial transactions, we're discovering that our tried-and-true security playbook is woefully inadequate]]></description>
		
		
		
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		<title>What BlackBerry’s fall teaches us about AI and software testing</title>
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		<dc:creator><![CDATA[Tessa Kruger]]></dc:creator>
		<pubDate>Wed, 21 May 2025 13:30:21 +0000</pubDate>
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					<description><![CDATA[I recently watched the Netflix documentary BlackBerry, and it got me thinking. As I witnessed it unfold, I couldn’t help but draw parallels to our world of software Quality Assurance (QA) and testing. So, let me share a few insights on what we can learn from BlackBerry’s rise and fall, especially when adapting to new [&#8230;]]]></description>
		
		
		
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		<title>My journey of resilience: Learning from Ikigai in the age of AI disruption</title>
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		<dc:creator><![CDATA[Tessa Kruger]]></dc:creator>
		<pubDate>Thu, 15 May 2025 12:01:39 +0000</pubDate>
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					<description><![CDATA[A few years ago, as the buzz around AI started growing louder in the tech world, I began to feel a sense of unease. Everywhere I looked, there were articles, webinars, and conference talks declaring that AI was going to revolutionise testing. Automation, machine learning, and algorithms were going to handle tasks that testers like [&#8230;]]]></description>
		
		
		
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